Aws S3 Data Lake Finance Jobs

1 job found

1d ago

Data Engineer, WW Ops Finance - S&A

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

1d ago

$132k - $179k/yr Full time Amazon Emr Amazon Web Services AWS

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Job Description

Amazon is seeking a customer-focused Data Engineer for Worldwide Operations Finance Standardization & Automation (S&A) to build and scale a unified data management and discovery platform for global Finance teams.

Responsibilities

Design, build, and maintain scalable data pipelines and ETL workflows using Python, SQL, and AWS services including S3, Glue, Redshift, Lambda, EMR, and MWAA
Develop and optimize data models, metadata management frameworks, and catalog systems to support fast, reliable data discovery for thousands of internal users
Build and maintain microservices and APIs using API Gateway and Lambda for platform capabilities such as search, data ingestion, and cross-service integrations
Implement data quality frameworks, monitoring, and alerting to maintain reliability, freshness, and compliance with governance standards
Automate data onboarding and self-service workflows to reduce manual work and improve time-to-insight
Partner with cross-functional teams (product managers, BI engineers, and business stakeholders) to translate business requirements into scalable technical solutions
Support system design and code reviews, and follow operational excellence practices such as incident response, root cause analysis, and continuous improvement
Contribute to GenAI-powered features and AI-driven workflows that improve data discovery and analytics experiences

Requirements

3+ years of data engineering experience
1+ year developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
1+ year developing and operating large-scale data structures for business intelligence analytics using SQL
1+ year developing and operating large-scale data structures for business intelligence analytics using Oracle
1+ year developing and operating large-scale data structures for business intelligence analytics using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform)
Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Experience with data modeling, warehousing, and building ETL pipelines

Technologies

Python, SQL
AWS services: S3, Glue, Redshift, Lambda, EMR, MWAA
API Gateway, ETL, ELT
Oracle, OLAP technologies, DataZone, OpenSearch
Kinesis, FireHose
IAM roles and permissions
Non-relational databases / data stores: object storage, document or key-value stores, graph databases, column-family databases
Apache Spark, Elastic MapReduce (EMR)

Location

Bellevue, WA (onsite)

Compensation

USD 132,100 - 178,800 per year

Benefits

Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance and option for Supplemental life plans
EAP
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

About the Team

Part of the Worldwide Operations Finance Standardization & Automation (S&A) organization
Building a unified data management and discovery platform serving global Finance teams
Platform includes a dataset catalog, metric catalog, AI assistant, and interactive query experience for thousands of customers
Scaling to support 10+ domains and data producer teams
Stack includes AWS services (DataZone, OpenSearch, API Gateway, Lambda), microservices architecture, and modern frontend frameworks

Preferred Qualifications

Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Experience with Apache Spark / Elastic MapReduce

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